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dc.contributor.authorKehl, Danielle Leah
dc.contributor.authorKessler, Samuel Ari
dc.date.accessioned2017-08-14T18:14:18Z
dc.date.issued2017
dc.identifierQuick submit: 2017-07-25T16:45:34-0400
dc.identifier.citationKehl, Danielle, Priscilla Guo, and Samuel Kessler. 2017. Algorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencing. Responsive Communities Initiative, Berkman Klein Center for Internet & Society, Harvard Law School.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:33746041
dc.description.abstractRisk assessment tools are increasingly being incorporated into all aspects of the criminal justice system. This paper focuses on the use of these tools in the sentencing process, a relatively recent development which raises fundamental legal and ethical questions about fairness, accountability, and transparency. The paper provides an overview of these issues and questions for further research that can help local policymakers who are currently implementing or considering implementing similar systems in their jurisdiction.en_US
dc.language.isoen_USen_US
dc.publisherBerkman Klein Center for Internet & Societyen_US
dash.licenseLAA
dc.titleAlgorithms in the Criminal Justice System: Assessing the Use of Risk Assessments in Sentencingen_US
dc.typeResearch Paper or Reporten_US
dc.date.updated2017-07-25T20:45:38Z
dc.description.versionVersion of Recorden_US
dash.depositing.authorKehl, Danielle Leah
dc.date.available2017
dc.date.available2017-08-14T18:14:18Z
dash.contributor.affiliatedKessler, Sam
dash.contributor.affiliatedKehl, Danielle


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